Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Package details |
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Author | Koji Kosugi [aut, cre] (ORCID: <https://orcid.org/0000-0001-5816-0099>) |
Maintainer | Koji Kosugi <kosugitti@gmail.com> |
License | MIT + file LICENSE |
Version | 1.6.0 |
URL | https://kosugitti.github.io/exametrika/ |
Package repository | View on CRAN |
Installation |
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